Sejuti Rahman
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- M. Omair AhmadM.N.S. SwamyM. N. S. SwamyManisa PipattanasompornSujan SarkerShamim Ahmed DeowanMohammad Tariqul IslamShafin Rahman
- Topics
- Advanced Image Fusion Techniques (7 papers)Image and Signal Denoising Methods (7 papers)Computer Graphics and Visualization Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Image Processing
- Partner nations
- BangladeshCanadaUnited States
In The Last Decade
Sejuti Rahman
40 papers receiving 555 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 312
- Media Technology 176
- Artificial Intelligence 72
- Electrical and Electronic Engineering 71
- Biomedical Engineering 59
Countries citing papers authored by Sejuti Rahman
This map shows the geographic impact of Sejuti Rahman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sejuti Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sejuti Rahman more than expected).
Fields of papers citing papers by Sejuti Rahman
This network shows the impact of papers produced by Sejuti Rahman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sejuti Rahman. The network helps show where Sejuti Rahman may publish in the future.
Co-authorship network of co-authors of Sejuti Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Sejuti Rahman. A scholar is included among the top collaborators of Sejuti Rahman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sejuti Rahman. Sejuti Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 24 | |
| 12 | 28 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 51 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 63 | |
| 20 | 33 |
About Sejuti Rahman
Sejuti Rahman is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 45 papers that have together received 598 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (7 papers), Image and Signal Denoising Methods (7 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Media Technology (176 citations), Computer Vision and Pattern Recognition (312 citations) and Health Informatics (18 citations). Sejuti Rahman has collaborated with scholars based in Bangladesh, Canada and United States. Frequent co-authors include M. Omair Ahmad, M.N.S. Swamy, M. N. S. Swamy, Manisa Pipattanasomporn, Sujan Sarker, Shamim Ahmed Deowan, Mohammad Tariqul Islam, Shafin Rahman, Faisal Muhammad Shah and Tonmoy Hossain. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.